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This multi-method paper investigates the impact factors of process responsiveness, operationalized as process duration, in the bread-and-butter business of German banks, i.e. the private mortgage loan application evaluation process. The tested predictors refer to process design, process execution, business process management (BPM)'s relevance and information technology (IT) support.

In a sequential research design, a total of 296 useable responses of 1,228 contacted German banks are collected using a questionnaire built from both industry insights gained through 43 expert interviews and theoretical knowledge. Ordinary least squares (OLS) regression is used to determine the relevant impact factors and moderation effects, and a theoretical framework is proposed.

Proper process documentation moderated by bank size is most influential for process speed, and smaller banks benefit more from it. Automation appears to have a prolonging effect on the process. Although surprising, this finding may be explained through correlation analysis of the data and studies on the Solow’ paradox in the literature.

The models only partially explain process responsiveness. A moderate adjusted R² and several interaction effects indicate the complexity of the presented research question. Still, several hypotheses can be confirmed, leading back to the roots of process improvement and the long-lasting question of the binary impact nature of automation.

Valuable insights for both researchers in service operations and bank practitioners are outlined, shedding light onto responsiveness as still empirically under-researched operational capability. Thereby, the authors also contribute to the superior question of strategic fit.

To study the situation of alcohol relapse and to investigate the relationship between psychological factors and alcohol relapse in persons with alcohol dependence in Thai Nguyen hospitals, Vietnam.

A correlation study was conducted among 110 patients. Data were collected through structured interviews and were analyzed using descriptive statistics and Spearman's correlation coefficient (r_s).

More than two-thirds of the participants were found to relapse more than once (X¯ = 2.04, SD = 0.86). Positive outcome expectancies, cravings, negative emotional states, and maladaptive coping were positively associated with relapse (r_s = 0.550, 0.522, 0.497; p = 0.000 and r_s = 0.217, p < 0.05, respectively). While, motivation to change with three subscales had a negative correlation to relapse including recognition (r_s = −0.199, p < 0.05), ambivalence (r_s = −0.331, p = 0.000), and taking steps (r_s = −0.606, p = 0.000). Adaptive coping, self-efficacy, and social support were also found to be negatively correlated to relapse (r_s = −0.535, −0.499, −0.338; p = 0.000, respectively). However, negative outcome expectancies (r_s = −0.024, p = 0.805) and positive emotional states (r_s = 0.081, p = 0.399) were not significantly related to relapse.

The findings of this study are significant implications for relapse prevention strategies. It suggests that the essential parts of relapse prevention are through: changing alcohol expectations, increase drinking refusal self-efficacy, coping skills training, enhancing motivation to change, managing alcohol craving and expanding social support.

This is the first study in Vietnam which investigated the relationship between psychological factors and alcohol relapse in individuals with alcohol dependence.

This study aims to explore the relationship between the objectives of Islamic banking, customer satisfaction and customer loyalty in the South African context. Diving deep, this study also explores the relationship between customer satisfaction and customer loyalty.

Purposive and snowball sampling techniques were used, resulting in 163 respondents participating in this study. The data was collected using an online survey and analysed using a structural equation model based on the partial least squares method.

The results indicate that the construct related to the objectives of Islamic banking influences both customer satisfaction and customer loyalty. In addition, customer satisfaction is also found to influence a customer’s loyalty to the Islamic bank.

In South Africa, to the best of the authors’ knowledge, this study is the first of its kind; thus, the results provide context-specific insights into the extant literature on Islamic banking for Muslims residing in a non-Muslim majority country.

This study aims at exploring how small and medium enterprises (SMEs) can implement a more open and co-creational business model by actively collaborating with startups.

Because of the novelty of the SME–startup collaboration phenomenon and to the depth of the investigation required to grasp the mechanisms and logic of an open and co-creational business model, a single-case study has been performed related to investigating a collaboration between an SME and a startup.

The authors provide detailed empirical evidence on how SMEs may structure a “systematic” approach to design and execute an open business model enabled by startup collaboration. Moreover, this study suggests that the business model innovation process represents a necessary forerunner of an open business model. Finally, the authors contend that research on open business models should entail a broader perspective beyond the innovation process, to include business model validation through testing approaches like the lean startup.

This study takes as the locus of investigation the original perspective of the external partner of a focal firm willing to innovate. This study offers a unique contribution because, to date, few studies adopted such view within a relevant and under-remarked empirical setting linking SMEs and innovative startups.

This study aims to examine and understand the impact of reverse logistics adoption on firms' digitalization and collaboration activities. Specifically, leveraging the knowledge-based view, this study examines how adopting sustainable logistic practices (reverse logistics) prepares firms to embrace digitalization and encourages them to collaborate with other organizations.

The study used longitudinal survey data from two waves (2017 and 2019) from the Mannheim Centre for European Economic Research. The authors used the negative binomial regression analyses to test the impact of reverse logistics adoption on the digitalization and inter-organizational collaboration dependent count variables.

The study's findings highlight the usefulness of reverse logistics in enabling digitalization and inter-organizational collaboration. The results show that the firms investing in sustainable supply chains will be better positioned to nurture digitalization and inter-organizational collaboration.

For resource-bound managers, this study provides an important insight into prioritizing activities by highlighting how reverse logistics can facilitate digitalization and collaboration. The study demonstrates that the knowledge generated by reverse logistics adoption can be an essential pillar and enabler toward achieving firms' digitalization and collaboration goals.

The study is among the first to examine the effect of reverse logistics adoption on firm activities that are not strictly associated with the circular economy (digitalization and collaboration). Utilizing the knowledge-based view, this study reports on the additional benefits of reverse logistics implementation previously not discussed in the literature.

This study aims to acknowledge that most Indonesian small and medium enterprises (SMEs) experience slow growth. It highlighted that this sluggishness is because of some falsification of Indonesia’s ecological psychology. It focuses on investigating the situated cognition that probably supports this falsification, such as affordance, a community of practice, embodiment and the legitimacy of peripheral participation situated cognition and social intelligence theories.

This study obtained data from published newspapers between October 2016 and February 2019. The authors used the Waikato Environment for Knowledge Analysis and the J48 C.45 algorithm. The authors analyzed the data using the emergence of news probability for both the Government of Indonesia (GoI) and Indonesian society and the situated cognition concerning the improvement of the SMEs. The authors inferred ecological psychology from these published newspapers in Indonesia that the engaged actions were still suppressed, in comparison with being and doing.

This study contributes to the innovation and leadership policies of the SMEs’ managerial systems and the GoI. After this study identified the backward-looking practices, which the GoI and the people of Indonesia held, this study recommended some policies to help create a forward-looking orientation. The second one is also a policy for the GoI, which needs to reduce the discrepancy between the signified and the signifier, as recommended by the structuralist theory. The last one is suggested by the social learning theory; policies are needed that relate to developing the SMEs’ beliefs, attitudes and behavior. It means that the GoI should prepare the required social contexts, which are in motoric production and reinforcement. Explicitly, the authors argue that the GoI facilitates SMEs by emphasizing the internal learning process.

The authors present some possibilities for the limitations of this research. The authors took into account that this study assumes the SMEs are all the same, without industrial clustering. It considers that the need for social learning and social cognition by the unclustered industries is equal. Second, the authors acknowledge that Indonesia is an emerging country, and its economic structure has three levels of contributors; the companies listed on the Indonesian Stock Exchange, then the SMEs and the lowest level is the underground economy. Third, the authors did not distinguish the levels of success for the empowerment programs that are conducted by either the GoI or the local governments. This study recognizes that the authors did not measure success levels. It means that the authors only focused on the knowledge content.

From these pieces of evidence, this study constructed its strategies. The authors offer three kinds of policies. The first is the submission of special allocation funds from which the GoI and local governments develop their budgets for the SMEs’ social learning and social cognition. The second is the development of social learning and social cognition’s curricula for both the SMEs’ owners and executive officers. The third is the need for a national knowledge repository for all the Indonesian SMEs. This repository is used for the dissemination of knowledge.

This study raises argumental novelties with some of the critical reasoning. First, the authors argue that the sluggishness of the Indonesian SMEs is because of some fallacies in their social cognition. This social cognition is derived from the cultural knowledge that the GoI and people of Indonesia disclosed in the newspapers. This study shows the falsifications from the three main perspectives of the structuration, structuralist and social learning theories. Second, this study can elaborate on the causal factor for the sluggishness of Indonesia’s SMEs, which can be explained by philosophical science, especially its fallacies (Hundleby, 2010; Magnus and Callender, 2004). The authors expand the causal factors for each gap in every theory, which determined the SMEs’ sluggishness through the identification of inconsistencies in each dimension of their structuration, structuralism and social learning. This study focused on the fallacy of philosophical science that explains the misconceptions about the SMEs’ improvement because of faulty reasoning, which causes the wrong moves to be made in the future (Dorr, 2017; Pielke, 1999).

Despite increasing focus among scholars and practitioners on the design of product-service systems (PSS), there exists no compilation of current knowledge on the role played by small and medium-sized enterprises (SMEs) in designing such systems. Thus, this paper sets out to identify and organise the existing research and suggest questions for future research.

A systematic literature review was performed to identify and provide in-depth details on key themes in the literature addressing the design of PSS in SMEs.

This paper identifies five themes in the literature on the design of PSS in SMEs: motives, challenges, SME characteristics, methods and digitalisation. The themes are interrelated, and SME characteristics seem to be at the core as they are related to all the other themes. Gaps in the current knowledge are identified, and questions for future research are suggested.

The suggestions for future research provide a starting point for expanding the research on PSS design and devising practical support for SMEs.

Some studies and reports have recently suggested using blockchain technology to improve transparency and trust in humanitarian supply chains (HSCs). However, evidence-based studies to display the utility and applicability of blockchains in HSCs are missing in the literature. This paper aims to investigate the key drivers and barriers of blockchain application to HSCs and explore whether evidence could support that the application of blockchain improves transparency and trust in HSCs.

This paper puts forward a two-stage approach to explore the blockchain application in HSCs: an initial exploration of humanitarian practitioners and academicians interested in blockchain through focus group discussions; semi-structured interviews with practitioners involved at the UK Department for International Development's Humanitarian Supply Blockchain pilot project.

First, we found that main drivers include accountability, visibility, traceability, trust, collaboration, time efficiency, reducing administrative work and cross-sector partnership. Main barriers, however, are composed of engagement issues, lack of technical skills and training, lack of resources, privacy concerns, regulatory problems, pilot scalability issues and governance challenges. Second, evidence from our case study revealed the blockchain application could have added value to improve visibility and traceability, thus contributing to improve transparency. Concerning trust, evidence supports that blockchain could enhance both commitment and swift trust in the pilot study.

Our study contributes to a more understanding of added values and challenges of blockchain application to HSCs and creates a perspective for humanitarian decision-makers.

This study provides the first evidence from the actual application of blockchain technology in HSCs. The study discovered that it is still less evident in many humanitarian organizations, including medium- and small-sized nongovernmental organizations, that they engage in a direct deployment of in-house or customized blockchain-based HSC. Instead, these actors are more likely to indirectly use blockchain in HSCs through a private commercial partner.

The objective of the present study is to examine the impact of corporate characteristics on human resource disclosures in Indian corporate sector.

The study investigates the annual reports of 336 Indian listed companies of NSE-500 Index. The data are collected for the latest time period which contains eight years (FY 2012–13 to 2019–2020). The data of independent variables (company characteristics) have collected from annual reports and CMIE ProwessIQ Database of the Indian listed companies. The data of human resource dissclosure index (HRDI) is collected form annual reports using content analysis approach. For analysis purpose, descriptive statistics, Pearson's correlation matrix, Two-way Least Square Dummy Variable (LSDV) regression model have been used.

The outcomes show that net sales, market capitalisation, ROTA, return on equity, quick ratio, PAR have significant positive and age, profit after tax, current ratio have significant negative effect on HRDI. On the contrary, debt-equity ratio, earnings per share, type of auditor, listing status have insignificant positive and net fixed assets, promoter's holding have insignificant negative effect on HR disclosures of the selected Indian listed companies.

The HRDI constructed in the present study helps the Institute of Chartered Accountants of India (ICAI) and other regulatory bodies to make some standards regarding voluntary HR disclosure practices in Indian corporate sector.

The flexibility of batch process enables its wide application in fine-chemical, pharmaceutical and semi-conductor industries, whilst its complexity necessitates control performance monitoring to ensure high operation efficiency. This paper proposes a data-driven approach to carry out controller performance monitoring within batch based on linear quadratic Gaussian (LQG) method.

A linear time-varying LQG method is proposed to obtain the joint covariance benchmark for the stochastic part of batch process input/output. From historical golden operation batch, linear time-varying (LTV) system and noise models are identified based on generalized observer Markov parameters realization.

Open/closed loop input and output data are applied to identify the process model as well as the disturbance model, both in Markov parameter form. Then the optimal covariance of joint input and output can be obtained by the LQG method. The Hotelling's Tˆ2 control chart can be established to monitor the controller.

(1) An observer Markov parameter approach to identify the time-varying process and noise models from both open and closed loop data, (2) a linear time-varying LQG optimal control law to obtain the optimal benchmark covariance of joint input and output and (3) a joint input and output multivariate control chart based on Hotelling's T² statistic for controller performance monitoring.